Demographics details for Flower mound, TX vs Fairfield, AL

Population Overview

Compare main population characteristics in Flower mound, TX vs Fairfield, AL.

Data Flower mound Fairfield
Population 78,486 9,690
Median Age 42.6 years 30.7 years
Median Income $154,471 $45,646
Married Families 51.0% 20.0%
Poverty Level 4% 30%
Unemployment Rate 3.7 5.0

Population Comparison: Flower mound vs Fairfield

  • In Flower mound, the population is higher at 78,486, compared to 9,690 in Fairfield.
  • Residents in Flower mound have a higher median age of 42.6 years compared to 30.7 years in Fairfield.
  • Flower mound has a higher median income of $154,471 compared to $45,646 in Fairfield.
  • A higher percentage of married families is found in Flower mound at 51.0% compared to 20.0% in Fairfield.
  • The poverty level is higher in Fairfield at 30%, compared to 4% in Flower mound.
  • Fairfield has a higher unemployment rate at 5.0% compared to 3.7% in Flower mound.

Demographics

Demographics Flower mound vs Fairfield provide insight into the diversity of the communities to compare.

Demographic Flower mound Fairfield
Black 3 95
White 66 3
Asian 13 Data is updating
Hispanic 11 Data is updating
Two or More Races 7 2
American Indian Data is updating Data is updating

Demographics Comparison: Flower mound vs Fairfield

  • In Fairfield, the percentage of Black residents is higher at 95% compared to 3% in Flower mound.
  • Flower mound has a higher percentage of White residents at 66% compared to 3% in Fairfield.
  • The Asian population is larger in Flower mound at 13% compared to 0% in Fairfield.
  • The Hispanic community is larger in Flower mound at 11% compared to 0% in Fairfield.
  • More residents identify as two or more races in Flower mound at 7% compared to 2% in Fairfield.
  • The percentage of American Indian residents is the same in both Flower mound and Fairfield at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Flower mound Fairfield
Mental Health Not Good 13.3% 19.7%
Physical Health Not Good 7.7% 14.2%
Depression 21.1% 19.6%
Smoking 9.5% 20.6%
Binge Drinking 19.7% 11.7%
Obesity 28.5% 48.1%
Disability Percentage 6.0% 14.0%

Health Statistics Comparison: Flower mound vs Fairfield

  • In Fairfield, a higher percentage report poor mental health at 19.7% compared to 13.3% in Flower mound.
  • Depression is more prevalent in Flower mound at 21.1% compared to 19.6% in Fairfield.
  • Fairfield has a higher smoking rate at 20.6% compared to 9.5% in Flower mound.
  • Binge drinking is more common in Flower mound at 19.7% compared to 11.7% in Fairfield.
  • Fairfield has higher obesity rates at 48.1% compared to 28.5% in Flower mound.
  • There is a higher percentage of disabled individuals in Fairfield at 14.0% compared to 6.0% in Flower mound.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Flower mound Fairfield
No Schooling 0.7% (519) 0.5% (53)
High School Diploma 6.2% (4,886) 22.3% (2,159)
Less than High School 2.7% (2,090) 3.1% (302)
Bachelor's Degree and Higher 42.3% (33,161) 14.8% (1,437)

Education Levels Comparison: Flower mound vs Fairfield

  • A higher percentage of residents in Flower mound have no formal schooling at 0.7% compared to 0.5% in Fairfield.
  • In Fairfield, the rate of residents with high school diplomas is higher at 22.3% compared to 6.2% in Flower mound.
  • The percentage of residents with less than a high school education is higher in Fairfield at 3.1%, compared to 2.7% in Flower mound.
  • A higher percentage of residents in Flower mound hold a bachelor's degree or higher at 42.3% compared to 14.8% in Fairfield.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.